INDEX

Explanations

numbers and proper nouns related to locations or people

oai_token-act-pair · gpt-3.5-turbo Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res_fs24576-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.8.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

feeding

-0.90

ĪĴ

-0.79

woods

-0.79

matter

-0.76

gob

-0.75

oard

-0.74

erton

-0.74

interrupted

-0.73

FACE

-0.72

marine

-0.71

POSITIVE LOGITS

 estimates

0.95

 estimate

0.88

 estimated

0.82

imate

0.80

 amounts

0.78

 amount

0.78

 approximate

0.77

 number

0.77

 estimating

0.76

 sums

0.74

Activations Density 0.043%

numbers and proper nouns related to locations or people

No Comments

No Known Activations